Enhancing Electric Bicycle Efficiency: Investigating Regenerative Braking and Pedal Charging Systems

Electric bicycles (e-bikes) are gaining global popularity as part of the broader shift towards electric vehicles (EVs). This research presents a regenerative electric bicycle designed to maximize energy efficiency, aiming for a top speed of 45 km/h and a range of 50 km. The bicycle incorporates two key energy recovery systems: a downhill regenerative system that captures braking energy and converts it into electricity, and a pedal charging system that converts pedaling kinetic energy to recharge the battery. A digital signal processing system seamlessly switches between charging and electric drive based on rider input. This study examines the effectiveness of these systems. The regenerative braking system achieved an impressive 30.9% efficiency in capturing energy during testing. The pedal charging system initially demonstrated an efficiency of 2.98%. MATLAB simulations revealed clear trends in force and power requirements across different grades (0°, 2.5°, 5°, 7.5°, and 10°), highlighting the crucial role of aerodynamic drag and gradient resistance in influencing performance and energy efficiency. While controlled testing environments require further real-world evaluation, these findings underscore the promising potential of regenerative braking and pedal charging for enhancing electric bicycle efficiency. This research paves the way for the development of more efficient and accessible electric bicycles, promoting sustainable transportation solutions through the selection of durable, efficient, and environmentally friendly components.

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Publication Details

Journal
International Journal on Engineering Technology
Published
2024-12-16
DOI
https://doi.org/10.3126/injet.v2i1.72561
Citations
2
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.42
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article

Enhancing Electric Bicycle Efficiency: Investigating Regenerative Braking and Pedal Charging Systems

Rupesh Lal Karn, K. Kafle, Shiva Shankar Bhattarai, Ram Krishna Mainali et al.
2 citations
International Journal on Engineering Technology
Electric Vehicles and Infrastructure
0.42
article

Enhancing Electric Bicycle Efficiency: Investigating Regenerative Braking and Pedal Charging Systems

Rupesh Lal Karn, K. Kafle, Shiva Shankar Bhattarai, Ram Krishna Mainali, Rujan Buyo
article en
2 citations

Abstract

Electric bicycles (e-bikes) are gaining global popularity as part of the broader shift towards electric vehicles (EVs). This research presents a regenerative electric bicycle designed to maximize energy efficiency, aiming for a top speed of 45 km/h and a range of 50 km. The bicycle incorporates two key energy recovery systems: a downhill regenerative system that captures braking energy and converts it into electricity, and a pedal charging system that converts pedaling kinetic energy to recharge the battery. A digital signal processing system seamlessly switches between charging and electric drive based on rider input. This study examines the effectiveness of these systems. The regenerative braking system achieved an impressive 30.9% efficiency in capturing energy during testing. The pedal charging system initially demonstrated an efficiency of 2.98%. MATLAB simulations revealed clear trends in force and power requirements across different grades (0°, 2.5°, 5°, 7.5°, and 10°), highlighting the crucial role of aerodynamic drag and gradient resistance in influencing performance and energy efficiency. While controlled testing environments require further real-world evaluation, these findings underscore the promising potential of regenerative braking and pedal charging for enhancing electric bicycle efficiency. This research paves the way for the development of more efficient and accessible electric bicycles, promoting sustainable transportation solutions through the selection of durable, efficient, and environmentally friendly components.

International Journal on Engineering TechnologyVol. 2(1)
Kathmandu University (NP)
Openalex Percentile: Top 36%
Electric Vehicles and Infrastructure
0.42
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